Head Detection and Tracking for the Car Occupant’s Pose Recognition

  • Jeong-Eom Lee
  • Yong-Guk Kim
  • Sang-Jun Kim
  • Min-Soo Jang
  • Seok-Joo Lee
  • Min Chul Park
  • Gwi-Tae Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


This paper describes a Vision-based Occupant Pose Recognition (VOPR) system, which can ensure a safe airbag deployment. Head detection and its tracking are necessary for occupant’s pose recognition in the car, since the position of occupant’s head provides valuable information, such as his pose, size, position, and so on. We use the stereo cameras to extract a disparity map. Against variable lighting conditions including the night drive, we adopt infrared illumination as well as normal one. Results suggest that VOPR system is reliable and performs reasonably well.


Support Vector Machine Stereo Camera Video Database Head Tracking Head Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jeong-Eom Lee
    • 1
  • Yong-Guk Kim
    • 3
  • Sang-Jun Kim
    • 1
    • 2
  • Min-Soo Jang
    • 1
  • Seok-Joo Lee
    • 4
  • Min Chul Park
    • 5
  • Gwi-Tae Park
    • 1
  1. 1.Dept. of Electrical EngineeringKorea
  2. 2.Interdisciplinary Programs of MechatronicsKorea UniversitySeoulKorea
  3. 3.School of Computer EngineeringSejong UniversitySeoulKorea
  4. 4.Hyundai Autonet Co. Ltd.Korea
  5. 5.Systems Technology Division, KISTKorea

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